Detailed Information on Publication Record
2016
Explanation of the Donor Decision-making Process in the Czech Republic through a Combination of Influences of Individual Motives
HLADKÁ, Marie and Vladimír HYÁNEKBasic information
Original name
Explanation of the Donor Decision-making Process in the Czech Republic through a Combination of Influences of Individual Motives
Authors
HLADKÁ, Marie (203 Czech Republic, guarantor, belonging to the institution) and Vladimír HYÁNEK (203 Czech Republic, belonging to the institution)
Edition
European Financial and Accounting Journal, Praha, Vysoká škola ekonomická v Praze, 2016, 1805-4846
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
50200 5.2 Economics and Business
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/00216224:14560/16:00087974
Organization unit
Faculty of Economics and Administration
Keywords in English
Altruism; Charitable giving; Factor analysis; Motive; Philanthropy
Tags
Reviewed
Změněno: 9/6/2016 14:37, Ing. Marie Hladká, Ph.D.
Abstract
V originále
Motivation represents a foundation corestone on which analyses in a number of the humanities and social sciences are built. For a long time, economists have seen motivation as connected with the act of giving, trying to interpret it in the context of the neoclassical economics assumptions. On the basis of representative theoretical models, Ziemek (2003) distinguishes three basic categories of motives underlying the act of giving: altruism, egoism and investment. The paper follows on from the research (Hladká, Hyánek, 2015) that generated interesting outcomes and presented a comprehensive picture of the motives influencing donor behaviour in the Czech Republic. The authors have enriched it with a new dimension in the form of an analysis and an appropriate research method. The authors submit a theoretically reasoned set of motives influencing donor behaviour to an explorative factor analysis with the aim to determine a group of the variables that statistically “belong together”, i.e. are underpinned by a common factor. The result of the analysis is reduction of the original 37 identified motives to eight new aggregate factors which are newly named and can be used for further empirical testing.
Links
GA14-06856S, research and development project |
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